Parallel-And-Concurrent-Programming
Concurrent and parallel programming might seem complex, but this guide simplifies it. Learn about sequential vs non-sequential programming, processes, and threads. Explore examples in popular languages like C++, Python, and JavaScript to apply your new knowledge to your projects. (by djeada)
HPX
The C++ Standard Library for Parallelism and Concurrency (by STEllAR-GROUP)
| Parallel-And-Concurrent-Programming | HPX | |
|---|---|---|
| 1 | 16 | |
| 11 | 2,710 | |
| - | 0.5% | |
| 8.6 | 9.7 | |
| 5 months ago | 4 days ago | |
| C++ | C++ | |
| MIT License | gtkbook License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Parallel-And-Concurrent-Programming
Posts with mentions or reviews of Parallel-And-Concurrent-Programming.
We have used some of these posts to build our list of alternatives
and similar projects.
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Sharing my notes on concurrency
I've explored concurrency in C++, Python, and Node.js, and kept notes and examples in a repository. I think it could be helpful to others, so I'm sharing it here: https://github.com/djeada/Parallel-And-Concurrent-Programming
HPX
Posts with mentions or reviews of HPX.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-07.
- HPX v1.11.0: The C++ Standards Library for Parallelism and Concurrency
- Does anyone know any good open source project to optimize?
- Looking for projects to contribute to
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What are some C++ projects with high quality code that I can read through?
https://github.com/STEllAR-GROUP/hpx Modern C++ concepts incorporated in a threading library. Lots of useful techniques used in there and we are trying to keep our code base very tidy. Feel free to chime in our libera channel #ste||ar if you have any questions.
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Any C++ open source projects for beginners?
https://github.com/STEllAR-GROUP/hpx Welcoming community + we have been part of GSoC for 4-5 years now so feel free to apply there when it opens ;)
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Getting started with first HPC project
You definitely do not want to learn Boost, trust me. The cudatoolkit is fine, HPX is great, so are Dask, and Ray. I do not recommend MPI unless those computers you have use InfiniBand.
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Questions about writing my own CFD code
I found this interesting library that might fit your goal.
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John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.
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Is there any good reason not to build an open-source C++ project on Intels oneTBB?
I am aware of DAGs of task based threading library like Taskflow and HPX however the benefit they have is not obvious to me, as the following sequential section depends on the parallel part being completed fully. If you want to suggest elaboration on the benefits of this approach would be welcome.
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How to publish a paper about my own C++ software
Github: https://github.com/STEllAR-GROUP/hpx
What are some alternatives?
When comparing Parallel-And-Concurrent-Programming and HPX you can also consider the following projects:
parlaylib - A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
napajs - Napa.js: a multi-threaded JavaScript runtime
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
pRIblast - pRIblast is a high efficient, parallel application for extensive lncRNA-RNA interaction analysis
Boost.Compute - A C++ GPU Computing Library for OpenCL